Triple

T84988
Position Surface form Disambiguated ID Type / Status
Subject Hundred Days (FDR) E1709 entity
Predicate involvesPolicyArea P1876 FINISHED
Object banking regulation LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: banking regulation | Statement: [Hundred Days (FDR), involvesPolicyArea, banking regulation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: involvesPolicyArea
Context triple: [Hundred Days (FDR), involvesPolicyArea, banking regulation]
  • A. governmentInvolvement
    Indicates that a government participates in, influences, regulates, or otherwise plays a role in the specified activity, process, or entity.
  • B. policyFocus chosen
    Indicates that an entity (such as a person, organization, or document) is primarily concerned with, directed toward, or centered on a particular policy area or issue.
  • C. governingPolicy
    Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another entity.
  • D. involves
    Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
  • E. relatedLegislation
    Indicates that there exists a legislative document that is connected to, affects, or is otherwise relevant to the subject entity.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a250e401288190ba12322c9c5f07c9 completed Feb. 28, 2026, 2:20 a.m.
PD Predicate disambiguation batch_69a24eb59e808190811c20518f39b1cc completed Feb. 28, 2026, 2:11 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.